CN108305015A - A kind of Vehicular intelligent dispatching method for logistics transportation - Google Patents

A kind of Vehicular intelligent dispatching method for logistics transportation Download PDF

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Publication number
CN108305015A
CN108305015A CN201810160931.6A CN201810160931A CN108305015A CN 108305015 A CN108305015 A CN 108305015A CN 201810160931 A CN201810160931 A CN 201810160931A CN 108305015 A CN108305015 A CN 108305015A
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China
Prior art keywords
vehicle
logistics
gis
logistics transportation
transportation
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Pending
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CN201810160931.6A
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Chinese (zh)
Inventor
童财宝
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Zhenjiang Bauer Logistics Ltd By Share Ltd
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Zhenjiang Bauer Logistics Ltd By Share Ltd
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Priority to CN201810160931.6A priority Critical patent/CN108305015A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping

Abstract

The invention discloses a kind of Vehicular intelligent dispatching methods for logistics transportation, include the following steps, GIS information management systems are integrated on Logistics Transport Management Information System, are managed collectively for the relevant each client in spatial position in the dispatching operation to logistics transportation, road;By GIS spatial analysis, realize that the path optimization to dispatching point operates;When vehicle selects, by GIS spatial analysis, the free vehicle of generic line is selected to carry out relevant goods transportation;By the vehicle after selection, according to obtained path optimizing, logistics transportation is carried out to article.The Vehicular intelligent dispatching method for logistics transportation of the present invention, GIS information management systems are integrated on Logistics Transport Management Information System, the optimizing and scheduling vehicle system that structure and customer demand are adapted, the effective rate of utilization for providing Transportation Enterprises service level and resource, has a good application prospect.

Description

A kind of Vehicular intelligent dispatching method for logistics transportation
Technical field
The present invention relates to logistics distribution technical fields, and in particular to a kind of Vehicular intelligent dispatching party for logistics transportation Method.
Background technology
With the raising of the development and logistlcs technology professional level of market economy, logistics is as third party's interests source point pair It influences also more and more significant caused by economic activity, has become and nowadays compete most important career field.Logistics activity Among, dispatching is the step of direct and consumer contacts, but one dispatched among also logistics distribution optimization of vehicle Close core link.Nowadays, the vehicle scheduling of the vehicle of most of Third-party Logistics Enterprise is still by manual type, because This, be easy to cause enterprise transport resource can not rationally using and the too high requirement etc. that can not meet client of operation cost. So carrying out in-depth study analysis, the optimization of vehicle tune that structure and customer demand are adapted to the Problems of Optimal Dispatch of vehicle Degree system has become the critical problem for the effective rate of utilization for improving enterprises service level and resource, is currently to continue It solves.
Invention content
The purpose of the present invention is overcome the vehicle scheduling of the vehicle of existing most of Third-party Logistics Enterprise be still according to Manually mode, the problem that transport resource can not be utilized rationally and operation cost is too high.The present invention for logistics transportation GIS information management systems are integrated on Logistics Transport Management Information System by Vehicular intelligent dispatching method, structure and customer demand Adaptable optimizing and scheduling vehicle system, provides the effective rate of utilization of Transportation Enterprises service level and resource, has good Good application prospect.
In order to achieve the above object, the technical solution adopted in the present invention is:
A kind of Vehicular intelligent dispatching method for logistics transportation includes the following steps,
Step(A), GIS information management systems are integrated on Logistics Transport Management Information System, for matching to logistics transportation The relevant each client in spatial position in operation, road is sent to be managed collectively;
Step(B), by GIS spatial analysis, realize that the path optimization to dispatching point operates;
Step(C), when vehicle selects, by GIS spatial analysis, the free vehicle of generic line is selected to carry out relevant article Transport;
Step(D), by the vehicle after selection, according to obtained path optimizing, logistics transportation is carried out to article.
A kind of Vehicular intelligent dispatching method for logistics transportation above-mentioned, step(A), by GIS information management system collection At on Logistics Transport Management Information System, for the relevant each visitor in spatial position in the dispatching operation to logistics transportation Family, road are managed collectively, including road network integrates and delivery point distributed information integration.
A kind of Vehicular intelligent dispatching method for logistics transportation above-mentioned, the road network is integrated to belong to GIS information Content in management system needs to provide reference frame with shortest circuit, path optimizing and map match, and automated path is built It is vertical to need to be accurate to the same sex classification of the length in path, road level of hierarchy, speed and vehicle, single two pass;The positional operand of vehicle Make, needs to be accurate to the title in street, every terrestrial reference, the title of user and the position of contact method and dispatching person's self-defining Attribute.
A kind of Vehicular intelligent dispatching method for logistics transportation above-mentioned, the delivery point distributed information integration, belongs to The content of Logistics Transport Management Information System, wherein comprising can uniquely judge its existing geographical attribute, geographical attribute includes The title in street, geographic coordinate information.
A kind of Vehicular intelligent dispatching method for logistics transportation above-mentioned, step(B), by GIS spatial analysis, realize Path optimization's operation to dispatching point, includes the following steps,
(B1), geographical spatial data and logistics information data are subjected to matching encapsulation;
(B2), the GIS components on Logistics Transport Management Information System after auxiliary addition encapsulation, to realize to dispatching point path Display, analysis, and it is finally completed the network planning of dispatching;
(B3), in conjunction with order data information, real-time traffic situation is judged according to GIS components, obtains optimal optimization road Diameter.
A kind of Vehicular intelligent dispatching method for logistics transportation above-mentioned, step(C), when vehicle selects, pass through GIS Spatial analysis selects the free vehicle of generic line to carry out relevant goods transportation, includes the following steps,
(C1), the maintenance of information
Typing article needs to plan, and does corresponding adjustment according to the variation occurred on Logistics Transport Management Information System;
(C2), formulate transportation program
By the calculating of the Optimized Operation to vehicle, and GIS spatial analysis is combined, the free vehicle of generic line is selected to carry out phase The goods transportation of pass;
(C3), inquiry
Including inquiring client, driver, vehicle, cargo type, conveying channel every terms of information, and accomplish that real-time tracking is inquired.
A kind of Vehicular intelligent dispatching method for logistics transportation above-mentioned, step(D), pass through the vehicle after selection, root According to obtained path optimizing, logistics transportation is carried out to article, during logistics transportation, is provided according to GIS information management systems Real-time road path optimizing is adjusted in real time.
The beneficial effects of the invention are as follows:The Vehicular intelligent dispatching method for logistics transportation of the present invention, by GIS message tubes It manages in the system integration to Logistics Transport Management Information System, the optimizing and scheduling vehicle system that structure is adapted with customer demand carries For Transportation Enterprises service level and the effective rate of utilization of resource, have a good application prospect.
Description of the drawings
Fig. 1 is the flow chart of the Vehicular intelligent dispatching method for logistics transportation of the present invention.
Specific implementation mode
Below in conjunction with Figure of description, the present invention is further illustrated.
As shown in Figure 1, the Vehicular intelligent dispatching method for logistics transportation of the present invention, includes the following steps,
Step(A), GIS information management systems are integrated on Logistics Transport Management Information System, for matching to logistics transportation The relevant each client in spatial position in operation, road is sent to be managed collectively, including road network integrates and delivery point minute Cloth information integration,
The integrated content belonged in GIS information management systems of the road network, need with shortest circuit, path optimizing and Map match provides reference frame, and automated path establishes length, road level of hierarchy, speed and the vehicle for needing to be accurate to path Same sex classification, single two pass;The positioning operation of vehicle, need to be accurate to the title in street, every terrestrial reference, user title and The position attribution of contact method and dispatching person's self-defining;
The delivery point distributed information integration, belongs to the content of Logistics Transport Management Information System, wherein comprising can uniquely comment Sentence its existing geographical attribute, geographical attribute includes the title in street, geographic coordinate information;
Step(B), by GIS spatial analysis, realize that the path optimization to dispatching point operates;
Step(C), when vehicle selects, by GIS spatial analysis, the free vehicle of generic line is selected to carry out relevant object Product transport, and include the following steps,
(C1), the maintenance of information
Typing article needs to plan, and does corresponding adjustment according to the variation occurred on Logistics Transport Management Information System;
(C2), formulate transportation program
By the calculating of the Optimized Operation to vehicle, and GIS spatial analysis is combined, the free vehicle of generic line is selected to carry out phase The goods transportation of pass;
(C3), inquiry
Including inquiring client, driver, vehicle, cargo type, conveying channel every terms of information, and accomplish that real-time tracking is inquired.
Step(D), by the vehicle after selection, according to obtained path optimizing, logistics transportation is carried out to article, in logistics In transportational process, the real-time road provided according to GIS information management systems adjusts path optimizing in real time.
Above by the calculating of the Optimized Operation to vehicle, can be calculated according to the TS for optimizing and scheduling vehicle of comparative maturity Method carries out, and loglstics enterprise Optimized scheduling of distribution vehicles problem TS algorithms realize that process is divided into the following steps:First, initial solution is true It is set to current solution, while is also optimum solution, which determines that it is zero to enable iterative steps by randomized, is keeping current Solve it is constant in the case of, current subsequent iteration step number is zero, corresponding initialization taboo;Second, candidate solution quantity is true at present It is set to zero, is more than the iterative steps that currently solve in maximum current solution iterative steps, while current optimum solution is constant current In the case of the maximum subsequent iteration step number that subsequent iteration step number is kept constant less than current optimum solution, continue third step, It is on the contrary then be directly entered the 6th step;Third, if the maximum subsequent iteration step number that current optimum solution is kept constant is more than current wait In the case of the quantity for selecting solution, continue the 4th step, otherwise is directly entered the 5th step;4th, implement to exchange for current solution, And among thus acquired new explanation is added to candidate solution set, while the quantity of current candidate solution is increased by one;The Five, the evaluation function value minimal solution of non-taboo is picked out from the set of candidate solution, and serve as optimal candidate solution, or Person is that if there is a taboo candidate solution, and the evaluation function value of the taboo candidate solution is not more than current optimum solution, that In this case with regard to needing to lift a ban the candidate solution, while being determined as optimal candidate solution;It will be newest best Candidate solution serves as current solution, while refreshing to taboo list, to carrying out lifting a ban processing positioned at primary element in taboo list, Current solution is added in taboo list simultaneously, and ensures that it is located at last position in all multielements that taboo list is included, is needed It is noted that also needing to add 1 to the iteration step numerical value currently solved at this time;If newest optimal candidate solution is commented by evaluation function The numerical value of the acquired current optimum solution of numeric ratio is small after valence, needs to be updated current optimum solution at this time, simultaneously The current subsequent iteration step number that current optimum solution is kept constant is placed in zero, but if newest optimal candidate solution is by evaluation letter Several obtained evaluations of estimate of evaluation are higher than current optimum solution, need to keep constant current optimum solution at this time current continuous The corresponding value of iterative steps increases by 1, while being transferred to second step, continues correlation step;Final step is just to like that is worked as Preceding optimum solution numerical value output, as optimal vehicle.
In conclusion the Vehicular intelligent dispatching method for logistics transportation of the present invention, object is integrated by GIS information management systems It flows on Transport Management Information System, the optimizing and scheduling vehicle system that structure is adapted with customer demand provides Transportation Enterprises The effective rate of utilization of service level and resource, has a good application prospect.
The basic principles and main features and advantage of the present invention have been shown and described above.The technical staff of the industry should Understand, the present invention is not limited to the above embodiments, and the above embodiments and description only describe the originals of the present invention Reason, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes and improvements It all fall within the protetion scope of the claimed invention.The claimed scope of the invention is by appended claims and its equivalent circle It is fixed.

Claims (7)

1. a kind of Vehicular intelligent dispatching method for logistics transportation, it is characterised in that:Include the following steps,
Step(A), GIS information management systems are integrated on Logistics Transport Management Information System, for matching to logistics transportation The relevant each client in spatial position in operation, road is sent to be managed collectively;
Step(B), by GIS spatial analysis, realize that the path optimization to dispatching point operates;
Step(C), when vehicle selects, by GIS spatial analysis, the free vehicle of generic line is selected to carry out relevant article Transport;
Step(D), by the vehicle after selection, according to obtained path optimizing, logistics transportation is carried out to article.
2. a kind of Vehicular intelligent dispatching method for logistics transportation according to claim 1, it is characterised in that:Step (A), GIS information management systems are integrated on Logistics Transport Management Information System, in the dispatching operation to logistics transportation The relevant each client in spatial position, road be managed collectively, including road network is integrated and delivery point distributed intelligence collection At.
3. a kind of Vehicular intelligent dispatching method for logistics transportation according to claim 2, it is characterised in that:The road The integrated content belonged in GIS information management systems of road network, needs to be carried with shortest circuit, path optimizing and map match Foundation for reference, automated path establish length, the same sex class of road level of hierarchy, speed and vehicle for needing to be accurate to path Not, single two pass;The positioning operation of vehicle, need to be accurate to the title in street, every terrestrial reference, user title and contact method With the position attribution of dispatching person's self-defining.
4. a kind of Vehicular intelligent dispatching method for logistics transportation according to claim 2, it is characterised in that:It is described to send Goods point distributed information integration, belongs to the content of Logistics Transport Management Information System, wherein comprising can uniquely judge existing for it Geographical attribute, geographical attribute include the title in street, geographic coordinate information.
5. a kind of Vehicular intelligent dispatching method for logistics transportation according to claim 1, it is characterised in that:Step (B), by GIS spatial analysis, realize that the path optimization to dispatching point operates, and includes the following steps,
(B1), geographical spatial data and logistics information data are subjected to matching encapsulation;
(B2), the GIS components on Logistics Transport Management Information System after auxiliary addition encapsulation, to realize to dispatching point path Display, analysis, and it is finally completed the network planning of dispatching;
(B3), in conjunction with order data information, real-time traffic situation is judged according to GIS components, obtains optimal optimization road Diameter.
6. a kind of Vehicular intelligent dispatching method for logistics transportation according to claim 1, it is characterised in that:Step (C), when vehicle selects, by GIS spatial analysis, the free vehicle of generic line is selected to carry out relevant goods transportation, packet Include following steps,
(C1), the maintenance of information
Typing article needs to plan, and does corresponding adjustment according to the variation occurred on Logistics Transport Management Information System;
(C2), formulate transportation program
By the calculating of the Optimized Operation to vehicle, and GIS spatial analysis is combined, the free vehicle of generic line is selected to carry out phase The goods transportation of pass;
(C3), inquiry
Including inquiring client, driver, vehicle, cargo type, conveying channel every terms of information, and accomplish that real-time tracking is inquired.
7. a kind of Vehicular intelligent dispatching method for logistics transportation according to claim 1, it is characterised in that:Step (D), by the vehicle after selection, according to obtained path optimizing, logistics transportation is carried out to article, during logistics transportation, The real-time road provided according to GIS information management systems adjusts path optimizing in real time.
CN201810160931.6A 2018-02-26 2018-02-26 A kind of Vehicular intelligent dispatching method for logistics transportation Pending CN108305015A (en)

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Application Number Priority Date Filing Date Title
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Application Number Priority Date Filing Date Title
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109242044A (en) * 2018-09-30 2019-01-18 江苏满运软件科技有限公司 Training method, device, storage medium and the electronic equipment of vehicle and goods matching model
CN109636028A (en) * 2018-11-29 2019-04-16 湖南工程学院 Distributed intelligent scheduling method
CN110852674A (en) * 2019-11-06 2020-02-28 秒针信息技术有限公司 Method, device, computer storage medium and terminal for realizing distribution supervision
CN111126912A (en) * 2019-12-23 2020-05-08 北京中交兴路信息科技有限公司 Freight type identification method and device, storage medium and terminal for truck

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101561897A (en) * 2008-04-17 2009-10-21 北京中食新华科技有限公司 Method for analyzing and modeling logistics information
CN105391786A (en) * 2015-11-25 2016-03-09 北京华油信通科技有限公司 Logistics transportation vehicle-mounted intelligent sensing network structure

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101561897A (en) * 2008-04-17 2009-10-21 北京中食新华科技有限公司 Method for analyzing and modeling logistics information
CN105391786A (en) * 2015-11-25 2016-03-09 北京华油信通科技有限公司 Logistics transportation vehicle-mounted intelligent sensing network structure

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109242044A (en) * 2018-09-30 2019-01-18 江苏满运软件科技有限公司 Training method, device, storage medium and the electronic equipment of vehicle and goods matching model
CN109636028A (en) * 2018-11-29 2019-04-16 湖南工程学院 Distributed intelligent scheduling method
CN110852674A (en) * 2019-11-06 2020-02-28 秒针信息技术有限公司 Method, device, computer storage medium and terminal for realizing distribution supervision
CN111126912A (en) * 2019-12-23 2020-05-08 北京中交兴路信息科技有限公司 Freight type identification method and device, storage medium and terminal for truck

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